“ #AIA1year
DeAgentAI begins its submission to enterprise clients”
When I wrote about @DeAgentAI before, I focused more on Judgment and the zkTLS oracle.
This time, the more worth paying attention to is another question:
Are enterprises really using it, and can the revenue generated by enterprise calls actually return to $AIA ?
The AI Token Smart Router that officially went live this time is not an AI Agent for ordinary users—it is an entry point for enterprises to call models.
Enterprises don’t need to build a separate integration for each model. With a single Router, they can call DeAgentAI’s self-developed models as well as 38 third-party models.
It mainly solves three problems:
▪️ Which model should be called this time? ▪️ How to track usage and handle billing/settlement across different models? ▪️ Who provides the final judgment, and how can the basis be traced?
During the pilot operation period, dozens of B2B clients have already been connected. Externally, cumulative calls are about 49 million times. These calls don’t come from DeAgentAI’s own applications—they come from real enterprise usage.
Calls generate protocol revenue, and part of that will be used to repurchase $AIA .
Enterprise calls → protocol revenue → repurchase $AIA
Web3 projects are never short of products and narratives. What they truly lack are customers, revenue, and the relationship between revenue and tokens. From what we can see, Smart Router has already connected these three things.
#AIA1stAnniversary #AIA1year
DeAgentAI begins its submission to enterprise clients”
When I wrote about @DeAgentAI before, I focused more on Judgment and the zkTLS oracle.
This time, the more worth paying attention to is another question:
Are enterprises really using it, and can the revenue generated by enterprise calls actually return to $AIA ?
The AI Token Smart Router that officially went live this time is not an AI Agent for ordinary users—it is an entry point for enterprises to call models.
Enterprises don’t need to build a separate integration for each model. With a single Router, they can call DeAgentAI’s self-developed models as well as 38 third-party models.
It mainly solves three problems:
▪️ Which model should be called this time? ▪️ How to track usage and handle billing/settlement across different models? ▪️ Who provides the final judgment, and how can the basis be traced?
During the pilot operation period, dozens of B2B clients have already been connected. Externally, cumulative calls are about 49 million times. These calls don’t come from DeAgentAI’s own applications—they come from real enterprise usage.
Calls generate protocol revenue, and part of that will be used to repurchase $AIA .
Enterprise calls → protocol revenue → repurchase $AIA
Web3 projects are never short of products and narratives. What they truly lack are customers, revenue, and the relationship between revenue and tokens. From what we can see, Smart Router has already connected these three things.
#AIA1stAnniversary #AIA1year